Roadmap

What EyeHint does today, what we are building next, why, and where it is going.

Dates are intentionally absent. Items move between columns as we learn. Everything under Next and Later is a plan, not a promise.

Why EyeHint exists

Most of the time you need information is exactly when you cannot stop and look it up: in the middle of a call, a demo, a lecture or a support chat. EyeHint’s job is to close the gap between what is being said or shown and what you need to know, in one glance, without interrupting the conversation and without anyone else having to see your screen.

Three principles guide every decision:

  1. Glanceable. If it takes more than a second to read, it is too slow.
  2. Private by default. On-device where possible, keys stay on your Mac, nothing stored unless you choose.
  3. You stay in control. EyeHint suggests; you decide what to say or do.

Use cases

SituationWhat EyeHint does
Sales and customer callsSurfaces pricing, objections and competitor facts as they come up; drafts the follow-up email
MeetingsLive transcript, “what did I miss?”, action items and a summary at the end
Technical support and debuggingReads an error on your screen, explains it, proposes the fix
Presentations and speechesTeleprompter that follows your voice; answers audience questions fast
Learning and lecturesExplains a term or formula the moment it is mentioned; builds notes
Language and accessibilityLive captions and translation; plain-language explanations; reading support
Pitch and presentation practiceMock Q&A, answer coaching, feedback on pacing and filler words
Research and readingSelect any area of the screen, ask a question about it

Use EyeHint openly and where it is allowed. Tell people when you record or transcribe, and do not use it in exams or assessments that prohibit outside assistance. See the Acceptable Use Policy.

Where we are

Shipped (macOS app)

Next — make it sellable and reliable

ItemWhy it matters
Tests, signed and notarized releases, auto-updateTrust: it must install cleanly and update safely
Licensing (activation, offline grace)Needed to sell
EyeHint API: LLM proxy with rate limits and meteringUsers get zero-setup AI; we control cost and abuse
Long-session controlsMeetings run 1–5 hours: rolling context, idle stop, per-session budgets
Playbooks: prepared answers and flowsAnswers you prepare ahead are matched on-device and shown instantly with no AI request; AI is only used for the unexpected. Cheaper, faster and more accurate than asking the model every time
Smart teleprompterTurns an answer into something you can read aloud naturally, and follows your voice
Accent themes inside the appMatches the website and macOS accent

Later — make it more useful

The long-term vision: an EyeHint that watches and answers

Today you ask, and EyeHint answers. The future we are working toward is an EyeHint that notices on its own what is on your screen and in your call, and has the answer ready before you ask: a question appearing in a chat, an error dialog, a form field, a slide with a number you need to explain.

This is a future goal. We will approach it in stages so each step is useful and safe on its own:

StageBehaviorControl
1 · Assisted (today)You ask or tap a chipYou trigger everything
2 · Proactive suggestionsEyeHint reads the screen and offers a ready answer chip when something looks answerableYou tap to see it
3 · Autonomous answersEyeHint writes the answer for what is on screen and shows it in the overlay without being askedPer-app allowlist, pause shortcut, daily budget
4 · Agent actionsEyeHint can draft replies or fill fields for you to reviewAlways requires your explicit approval

Ground rules for autonomy

What has to exist first: the metered API and rate limits, reliable long-session handling, fast on-device screen understanding, and a settings model for per-app permissions. That is why they come before this on the roadmap.

Tell us what to build

Have a use case that is not listed? Write to hello@eyehint.com. The roadmap follows what people actually use.